We are seeking a skilled AWS DevOps Engineer. The ideal candidate will have a strong understanding and experience in AWS Cloud Development Kit (AWS CDK) and GitLAB CI, with a proven track record of building high-performance.

AWS Devops Engineer

Your responsibilities

• Support the development and deployment of a new data integration platform
• Facilitate the integration of multi-modal data across the entire Cell Therapy lifecycle — from early-stage research to clinical development and manufacturing
• Collaborate with cross-functional teams to understand data requirements
• Ensure data is stored, managed, and accessible in a secure, scalable cloud-based environment
• Deliver integrated data solutions that support diverse user groups involved in research, development, clinical trials, and manufacturing

Our requirements

• Must be available for evening/late afternoon meetings twice weekly to collaborate with US-based stakeholders
• Proficiency in Cloud Development frameworks - AWS - CDK (EC2, S3, Lambdas, SQS) and GitLAB CI,
• Strong knowledge of Container Orchestrate (Kubernetes)
• Proved experience with Continuous Integration
• Familiarity with version control systems like GIT
• Ability to work in PM CET hours - up to 5hrs total not more 3 days a week
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Excellent problem-solving abilities
• Effective communication and collaboration skills
• Proactivity and self-motivation
• Ability to work in a distributed team environment
• English at least at C1 Level
• Solving issues in cooperation with solution owners/vendors (for example with Cloud (AWS/Azure/Google) support team).
• Preparing high quality documentation & presentations for our partners
• Linux Fundamentals and Bash scripting
• Infrastructure and networking
• Designing and implementing Continuous Integration / Continuous Delivery pipelines
• Infrastructure Automation - Configuration Management, Infrastructure as Code (IAC) (Terraform)
• Monitoring, logging and alerting tools
• Container Concepts (Docker, Kubernetes, Openshift optional)
• Cloud infrastructure (e.g. Cloud (AWS/Azure/Google), Azure, GCP)
• Git and Source Control
• Cloud-native infrastructure and concepts (e.g. Kubernetes EKS/AKS, Helm)
• API Gateways (e.g. MuleSoft, Gravitee IO)
• Python programming, experience with hardening infrastructure
• Knowledge of DynamoDB or Cassandra